Results 91 to 100 of about 66,224 (345)

Adoption of Diffusion Tensor Imaging under Optimized Fuzzy C-Means Cluster Algorithm in Intracerebral Benign and Malignant Tumor Resection [PDF]

, 2021
Yasong Liu, Wentao Xu
openalex   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

Automatic Receiver Function Picking Using Fuzzy C‐Means Clustering

Earth and Space Science
Computing receiver function (RF) from teleseismic records can be affected by noise present in the seismic waveforms, and therefore, visual inspection is still preferred for quality control purposes.
Neng Xiong, Fenglin Niu, Hongrui Qiu, Yuyan Liu, Wenpei Miao   +4 more
doaj   +1 more source

Alternate PSO-Based Adaptive Interval Type-2 Intuitionistic Fuzzy C-Means Clustering Algorithm for Color Image Segmentation

IEEE Access, 2019
Interval type-2 fuzzy c-means (IT2FCM) clustering algorithm can describe more uncertainty than fuzzy c-means (FCM) clustering algorithm by using two fuzzifiers to construct a more inclusive boundary.
Feng Zhao, Yilei Chen, Hanqiang Liu, Jiulun Fan   +3 more
doaj   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

ANALYSIS OF CLUSTERING METHODS ON THE CAUSAL FACTORS OF DIABETES MELLITUS WITH FUZZY C MEANS METHOD

Jurnal Lebesgue
This study focuses on the effectiveness of clustering algorithms, namely Fuzzy C-Means by using k-Means algorithm as a supporting method, in the factors that cause Diabetes Mellitus.
Afdhal Reshanda Adiwidyatma, I Gede Susrama Mas Diyasa, Trimono Trimono   +2 more
doaj   +1 more source

Astrocyte Enrichment of 3D Cortical Constructs Enhances Brain Repair

Advanced Science, EarlyView.
This study highlights the role of astrocytes in supporting neural progenitor cell survival and differentiation after traumatic brain injury. Astrocytes enhanced neuronal differentiation, improved cell survival in co‐cultures, and promoted integration of microfluidics‐based implants with host tissue following implantation. Additionally, increased axonal
Elisa M. Cruz, Luana C. Soares, Gretchen Greene, Fernando Messore, Mohammed Abuelem, Mingyu Li, Caroline Andersen, Mirriam Domocos, Elisa Vitiello, Rabeah Abdul Razak, Marlene Lawston, Gabriel Moser, Talia Vasaturo‐Kolodner, Mona Barkat, Roslyn M. Bill, Edward Mann, Linna Zhou, Mootaz M. Salman, Hagan Bayley, Zoltán Molnár, Francis G. Szele   +20 more
wiley   +1 more source

Single-Valued Neutrosophic Clustering Algorithm Based on Tsallis Entropy Maximization

Axioms, 2018
Data clustering is an important field in pattern recognition and machine learning. Fuzzy c-means is considered as a useful tool in data clustering. The neutrosophic set, which is an extension of the fuzzy set, has received extensive attention in solving ...
Qiaoyan Li, Yingcang Ma, Florentin Smarandache, Shuangwu Zhu   +3 more
doaj   +1 more source

Proposal of a Novel Spherical and Ellipsoidal Path Based Intuitionistic Fuzzy $C$ Means Clustering Algorithms for Irrelevant Features Detection

, 2022
Meenakshi Kaushal, Q. M. Danish Lohani
openalex   +1 more source

vEMRec: High‐Resolution Volume Electron Microscopy Reconstruction Based on Structure‐Preserving and High‐Fidelity 3D Alignment

Advanced Science, EarlyView.
vEMRec is a frequency‐adaptive computational framework for three‐dimensional alignment in volume electron microscopy. It integrates feature‐based rigid alignment with Gaussian filter‐guided elastic registration to correct rigid misalignments and nonlinear distortions while preserving structural fidelity.
Zhenbang Zhang, Hongjia Li, Zhongjun Yang, Zhiqiang Xu, Duanchen Sun, Xin Gao, Fa Zhang, Renmin Han   +7 more
wiley   +1 more source